[go: up one dir, main page]

×
May 27, 2024 · Machine learning algorithms can predict mechanical properties, such as strength and ductility, based on material composition and microstructure.
May 27, 2024 · Publication History · Received. 26 April 2024 · Published. online 27 May 2024 · Published. in issue 27 May 2024.
May 27, 2024 · Editorial: Machine Learning in Materials Science. J Chem Inf Model. 2024 May 27;64(10):3959-3960. doi: 10.1021/acs.jcim.4c00727.
Aug 17, 2021 · Machine learning holds great potential to accelerate materials research. Many domains in materials science are benefiting from its application, ...
May 27, 2024 · The integration of AI, ML, and DL into materials science represents a transformative leap toward innovation and discovery.
This special topic issue aims to spotlight the most recent progress in AI/ML-assisted research in chemical and materials science with a focus on physical ...
The number of studies that apply machine learning (ML) to materials science has been growing at a rate of approximately 1.67 times per year over the past ...
Missing: Editorial: | Show results with:Editorial:
Dec 29, 2022 · You can start with learning Python. Python is the primary programming language in machine learning field. Depending on your learning style, you can either take ...
Missing: Editorial: | Show results with:Editorial:
People also ask
Mar 25, 2023 · This review discussed the dilemma of small data faced by materials machine learning. First, we analyzed the limitations brought by small data.
This Research Topic is a compilation of contributions on current ideas and novel concepts for the advancement of machine learning, data mining, and data driven- ...